SST-1054 · AI & Machine Learning

Python / Machine Learning Engineer

C2C · San Jose, CA · $88 – $100/hr on C2C

Move a semiconductor client's yield-prediction models out of notebooks and into a monitored production service.

Location

San Jose, CA

Work model

Onsite

Experience

6+ years

Compensation

$88 – $100/hr on C2C

Duration

12 months

Posted

2026-09-01

What you will do

• Package training pipelines with MLflow tracking and model registry
• Serve models behind a low-latency inference API on SageMaker
• Instrument drift and data-quality monitoring with alerting
• Partner with process engineers to validate feature definitions

What we are looking for

• 6+ years in Python engineering, 3+ specifically on ML systems
• PyTorch or TensorFlow in production, not only research code
• MLOps tooling: MLflow, Kubeflow, SageMaker Pipelines or equivalent
• Onsite five days a week in San Jose is required by the client

Skills

Python PyTorch MLflow Feature stores SageMaker LLM fine-tuning